Vulnerability-Lookup

GHSA-5FPF-9VCP-WPJR

Vulnerability from github – Published: 2022-09-21 00:00 – Updated: 2025-05-27 18:30

Details

A potential attacker can execute an arbitrary code at the time of the PEI phase and influence the subsequent boot stages. This can lead to the mitigations bypassing, physical memory contents disclosure, discovery of any secrets from any Virtual Machines (VMs) and bypassing memory isolation and confidential computing boundaries. Additionally, an attacker can build a payload which can be injected into the SMRAM memory. This issue affects: Module name: S3Resume2Pei SHA256: 7bb29f05534a8a1e010443213451425098faebd45948a4642db969b19d0253fc Module GUID: 89E549B0-7CFE-449D-9BA3-10D8B2312D71

Severity

8.2 (High)


                  
                    CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2022-40262"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-123",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-20T18:15:00Z",
    "severity": "HIGH"
  },
  "details": "A potential attacker can execute an arbitrary code at the time of the PEI phase and influence the subsequent boot stages. This can lead to the mitigations bypassing, physical memory contents disclosure, discovery of any secrets from any Virtual Machines (VMs) and bypassing memory isolation and confidential computing boundaries. Additionally, an attacker can build a payload which can be injected into the SMRAM memory. This issue affects: Module name: S3Resume2Pei SHA256: 7bb29f05534a8a1e010443213451425098faebd45948a4642db969b19d0253fc Module GUID: 89E549B0-7CFE-449D-9BA3-10D8B2312D71",
  "id": "GHSA-5fpf-9vcp-wpjr",
  "modified": "2025-05-27T18:30:36Z",
  "published": "2022-09-21T00:00:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-40262"
    },
    {
      "type": "WEB",
      "url": "https://www.ami.com/security-center"
    },
    {
      "type": "WEB",
      "url": "https://www.binarly.io/advisories/BRLY-2022-009"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-40262 (GCVE-0-2022-40262)

Vulnerability from cvelistv5 – Published: 2022-09-20 17:35 – Updated: 2025-05-27 18:13

Title

The arbitrary write vulnerability in S3Resume2Pei leads to arbitrary code execution during PEI phase.

Summary

Severity

8.2 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-27 18:12 UTC

CWE

CWE-123 - Write-what-where Condition

Assigner

certcc mitre root

References

2 references

URL	Tags
https://www.ami.com/security-center/	x_refsource_MISC
https://www.binarly.io/advisories/BRLY-2022-009	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
AMI	Aptio	Affected: 5.x

Date Public

2022-08-11 00:00

Credits

Binarly efiXplorer team

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JSON

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.